Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".

Data Mining and R Programming for Beginners

package-ubuntu-20.04-r-4.0.5#cran#fdm2id-0.9.5

Return the list of correlated variables

<table summary="R argblock">
<tr valign="top">
<td><code>d</code></td>
<td>
A data matrix.
</td>
</tr>
<tr valign="top">
<td><code>threshold</code></td>
<td>
The threshold on the (absolute) Pearson coefficient. If NULL, return the most correlated variables.
</td>
</tr>
</table>

The list of correlated variables (as a matrix of column names).

package-ubuntu-20.04-r-4.0.5#cran#fdm2id-0.9.5#docs#correlated

correlated

Description

Usage

Arguments

Value

See Also

Examples

fdm2id

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`d`	A data matrix.
`threshold`	The threshold on the (absolute) Pearson coefficient. If NULL, return the most correlated variables.